{"action":"created","issue":{"url":"https://api.github.com/repos/DrSleep/tensorflow-deeplab-resnet/issues/147","repository_url":"https://api.github.com/repos/DrSleep/tensorflow-deeplab-resnet","labels_url":"https://api.github.com/repos/DrSleep/tensorflow-deeplab-resnet/issues/147/labels{/name}","comments_url":"https://api.github.com/repos/DrSleep/tensorflow-deeplab-resnet/issues/147/comments","events_url":"https://api.github.com/repos/DrSleep/tensorflow-deeplab-resnet/issues/147/events","html_url":"https://github.com/DrSleep/tensorflow-deeplab-resnet/issues/147","id":280108417,"number":147,"title":"How to obtain the 86.9% mIoU in validation set?","user":{"login":"John1231983","id":24875971,"avatar_url":"https://avatars3.githubusercontent.com/u/24875971?v=4","gravatar_id":"","url":"https://api.github.com/users/John1231983","html_url":"https://github.com/John1231983","followers_url":"https://api.github.com/users/John1231983/followers","following_url":"https://api.github.com/users/John1231983/following{/other_user}","gists_url":"https://api.github.com/users/John1231983/gists{/gist_id}","starred_url":"https://api.github.com/users/John1231983/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/John1231983/subscriptions","organizations_url":"https://api.github.com/users/John1231983/orgs","repos_url":"https://api.github.com/users/John1231983/repos","events_url":"https://api.github.com/users/John1231983/events{/privacy}","received_events_url":"https://api.github.com/users/John1231983/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-12-07T12:15:09Z","updated_at":"2017-12-07T20:23:37Z","closed_at":null,"author_association":"NONE","body":"Thanks for the great project. I am using python 2.7 and tensorflow 1.2. I trained the code with `deeplab_resnet_init.ckpt` after 20k iterations:\r\n\r\n`python train.py --random-mirror --random-scale`\r\nLoss:\r\n```\r\nstep 19999 \t loss = 1.358, (1.004 sec/step)\r\nThe checkpoint has been created.\r\nstep 20000 \t loss = 1.456, (8.148 sec/step)\r\n```\r\n\r\nMy Mean IoU is **75.1%** in single scale and **76.3%** in multiple scale case in the validation dataset. I tried using both trand+val dataset as for training but it only got 83% that lower than your report as 86.9% mIoU (as trainval was likely to be used for final training). Could you give me some tips to achieve your performance? Thanks"},"comment":{"url":"https://api.github.com/repos/DrSleep/tensorflow-deeplab-resnet/issues/comments/350083652","html_url":"https://github.com/DrSleep/tensorflow-deeplab-resnet/issues/147#issuecomment-350083652","issue_url":"https://api.github.com/repos/DrSleep/tensorflow-deeplab-resnet/issues/147","id":350083652,"user":{"login":"DrSleep","id":7841432,"avatar_url":"https://avatars3.githubusercontent.com/u/7841432?v=4","gravatar_id":"","url":"https://api.github.com/users/DrSleep","html_url":"https://github.com/DrSleep","followers_url":"https://api.github.com/users/DrSleep/followers","following_url":"https://api.github.com/users/DrSleep/following{/other_user}","gists_url":"https://api.github.com/users/DrSleep/gists{/gist_id}","starred_url":"https://api.github.com/users/DrSleep/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/DrSleep/subscriptions","organizations_url":"https://api.github.com/users/DrSleep/orgs","repos_url":"https://api.github.com/users/DrSleep/repos","events_url":"https://api.github.com/users/DrSleep/events{/privacy}","received_events_url":"https://api.github.com/users/DrSleep/received_events","type":"User","site_admin":false},"created_at":"2017-12-07T20:23:37Z","updated_at":"2017-12-07T20:23:37Z","author_association":"OWNER","body":"Refer to train_msc\n\nOn 7 Dec 2017 10:45 pm, \"John1231983\" <notifications@github.com> wrote:\n\n> Thanks for the great project. I am using python 2.7 and tensorflow 1.2. I\n> trained the code with deeplab_resnet_init.ckpt after 20k iterations:\n>\n> python train.py --random-mirror --random-scale\n> Loss:\n>\n> step 19999 \t loss = 1.358, (1.004 sec/step)\n> The checkpoint has been created.\n> step 20000 \t loss = 1.456, (8.148 sec/step)\n>\n> My Mean IoU is *75.1%* in single scale and *76.3%* in multiple scale case\n> in the validation dataset. I tried using both trand+val dataset as for\n> training but it only got 83% that lower than your report as 86.9% mIoU (as\n> trainval was likely to be used for final training). Could you give me some\n> tips to achieve your performance? Thanks\n>\n> —\n> You are receiving this because you are subscribed to this thread.\n> Reply to this email directly, view it on GitHub\n> <https://github.com/DrSleep/tensorflow-deeplab-resnet/issues/147>, or mute\n> the thread\n> <https://github.com/notifications/unsubscribe-auth/AHemmEg2mxWZxmBM2wff0AznVB03AoGEks5s99bNgaJpZM4Q5dAS>\n> .\n>\n"}}
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